首页 | 本学科首页   官方微博 | 高级检索  
     

油纸绝缘老化状态判别的拉曼光谱特征研究
作者单位:国网四川省电力公司成都供电公司 ,四川 成都 614000;国网江苏省电力工程咨询有限公司 ,江苏 南京 210024;重庆大学输配电装备及系统安全与新技术国家重点实验室 ,重庆 400044
基金项目:国家自然科学基金项目(51977017)资助
摘    要:获取能准确反映油纸绝缘老化的有效特征量,对实现油纸绝缘老化的准确诊断具有重要意义。表面增强拉曼光谱技术在油纸绝缘老化诊断领域已表现出一定的应用潜力。对25#矿物变压器油和普通牛皮纸构成的油纸绝缘试品进行了加速热老化实验,结合共聚焦拉曼光谱检测平台和银纳米片表面增强基底获取其拉曼光谱信号,从多种角度提取了拉曼光谱特征量。使用竞争性自适应重加权算法在提取出光谱的关键变量,其结果对应了油纸绝缘老化特征物的主要特征峰;使用VOIGT函数对光谱进行解析,解析峰的轮廓参数与油纸绝缘老化程度之间呈现相关性;以绝缘纸聚合度为依据将样本进行老化程度分类,光谱的前8个主成分及其载荷不仅与老化特征物和老化程度呈现相关性,且能够对样本进行准确分类;最后对光谱进行了小波包能量熵分析,分析了油纸绝缘老化过程中拉曼光谱的能量变化情况。研究成果为表面增强拉曼光谱技术应用于油纸绝缘老化诊断提供了依据,为实现油纸绝缘设备故障与老化状态的快速、非接触的现场诊断奠定了基础。

关 键 词:表面增强拉曼光谱  油纸绝缘  特征量  老化诊断
收稿时间:2020-08-02

Study on the Raman Spectral Characteristics in Ageing Condition Discrimination of Oil-Paper Insulation
ZOU Jing-xin,LIU Yan-qin,YUAN Ming-zhe,WANG Qi-hang,FAN Zhou,WAN Fu. Study on the Raman Spectral Characteristics in Ageing Condition Discrimination of Oil-Paper Insulation[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3159-3165. DOI: 10.3964/j.issn.1000-0593(2021)10-3159-07
Authors:ZOU Jing-xin  LIU Yan-qin  YUAN Ming-zhe  WANG Qi-hang  FAN Zhou  WAN Fu
Affiliation:1. Chengdu Power Supply Company of State Grid Sichuan Electric Power Company, Chengdu 614000, China2. State Grid Jiangsu Electric Power Engineering Consulting Co., Ltd., Nanjing 210024, China3. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University,Chongqing 400044,China
Abstract:Obtaining effective characteristics that can accurately reflect the ageing condition of oil-paper insulation is of great significance to the accurate diagnosis of oil-paper insulation systems. Surface-enhanced Raman spectroscopy (SERS) has shown application potential in oil-paper insulation ageing diagnosis. This paper performed accelerated thermal ageing test for oil-paper samples composed of conventional 25# mineral oil and ordinary Kraft paper. The Raman spectral signal was obtained by the Confocal laser Raman spectroscopy (CLRS) platform and the silver nano-plates. Various methods extracted the features of Raman spectrum. The competitive adaptive reweighting algorithm was used to extract the key variables of the spectrum. The results correspond to the main characteristic peaks of aging characteristics of oil-paper insulation. The Voigt function is used to analyze the spectrum. A correlation between the profile parameters of the analytical peak and the aging degree of oil-paper insulation was obtained. The aging degree of the samples was classified according to the polymerization degree of the insulating paper. The first eight principal components and their loadings were correlated with aging characteristics and aging degree and can accurately classified the samples. Finally, wavelet packet energy entropy analysis was carried out to analyze the energy change of Raman spectrum in the aging process of oil-paper insulation. This study provides a basis for the application of surface enhanced Raman spectroscopy in the diagnosis for the ageing condition of oil-paper insulation. It lays the foundation for the rapid and non-contact comprehensive diagnosis for the fault and ageing condition of oil-paper insulation equipment in the field.
Keywords:Surface enhanced Raman scattering  Oil-paper insulation  Spectral features  Ageing diagnosis  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《光谱学与光谱分析》浏览原始摘要信息
点击此处可从《光谱学与光谱分析》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号